CM2005 Object Oriented
Programming mid term assignment
Introduction
The goal for this assignment is to develop a command-line technical analysis toolkit for the
exchange platform.
TASK 1: Compute candlestick data
Candlesticks are a common visualisation used to show the trends in a trading system. The
candlesticks show what happens in a series of time windows, in terms of the starting price, the end
price and the highest and lowest prices seen. The following image shows a graphical plot of
candlestick data:
Figure 1: example of a graphical candlestick plot. Each box represents the trading activity in a time period. The top and
bottom of a box (the candle) represent the opening and closing value of a product. The top and bottom of the lines (the
candlesticks) represent the highest and lowest value seen in that time frame. The red box on May 3rd indicates the value
was lower at close than open, so value went down. You do not need to make a graphical plot – you will be making a text
based plot.
In the first task, you need to compute candlestick data from the exchange data for a particular
product. Here is an example of the fields needed for candlestick data:
Date Open High Low Close
2023-05-01 100 120 80 110
2023-05-02 110 130 100 120
2023-05-03 90 100 70 80
2023-05-04 95 110 70 100
2023-05-05 80 120 75 115
Note that you will need to do this separately for asks and bids, and separately for different products.
So the table above might be the candlestick data for ‘asks on ETH/UDST’, for example.
Here is how you can compute each field:
Open = the average price per unit in the previous time frame. So say we want to compute the value
for ETH/USDT asks from the list of items from the order book, which are all asks for ETH/USDT:
Amount Price Value (price X amount)
10 1 10
5 2 10
